Data Science Powers the Data-Driven Organization of the Future

By Mike Sargo

Chief Data and Analytics Officer and Co-Founder of Data Ideology  

Data Science powers the data-driven organizations of the future. 

The latest tools and technology will empower the modern data-driven organization.  From a technology perspective, the Snowflake Cloud Data Platform is a single platform that many of our customers are using to build that data foundation that organizations leverage to accelerate data science applications.  Technology platforms such as Snowflake are vital components supporting the transformation to become a data-driven organization.

The challenge that many organizations are having is that they are only talking about technology. The ability to deliver and execute a data-driven transformation into an organization goes beyond merely leveraging the latest technology. 

Data Scientists and a traditional scientist have a lot in common.

Conventional scientists require tools to enable them; however, having a microscope and laboratory doesn’t make someone a scientist.  The traditional scientist is someone who must have advanced knowledge in the domain of their area specialization.  Just as having the latest tools and technologies in place doesn’t make someone a data scientist. A successful data scientist must have the ability to analyze, process, and model data to uncover solutions to high-value business questions.

Many organizations are talking about data science; however, many organizations are struggling to get it right. They’re applying too much focus on the right technology but losing sight of the other areas that are required for success.  Data is an asset and something that each organization generates that its competitors can’t duplicate. 

Leveraging a proven data science methodology throughout your organization can add value in several ways across the organization to support decision making with more quantifiable evidence. 

The advanced data analysis capabilities can result in making more informed decisions that allow your organization to grow in intelligent, strategic ways. Taking the time to utilize data science and better understand the proof behind your performance is an advantage that every organization should find valuable.

There are very few organizations that have these advanced analytics skills on staff; however, many do have access to the tools and technologies that can help make things happen.  Delivering data science requires knowledge beyond just having the tools and technologies, as it’s the ability to build and automate with machine learning and artificial intelligence. It’s also essential to make data more accessible for the business users while delivering this data in context. 

Data Science success requires the successful orchestration of people, process, technology, and data that enables an organization to integrate, manage, and distribute data to deliver value.  At Data Ideology, we’re analytical experts who can help your organization accelerate the process of making sense of complex, unstructured data from various sources.  We bring a proven methodology and expertise to deliver insights accelerated.

Written by Mike Sargo
Mike Sargo is Chief Data and Analytics Officer and Co-Founder of Data Ideology with over 18 years of experience leading, architecting, implementing, and delivering enterprise analytics, business intelligence, and enterprise data management solutions.

Snowflake vs Azure E-Book

Data Ideology has created a Free Comprehensive E-Book that highlights many of the key differences, advantages and disadvantages to consider when starting your Cloud Data Migration Journey.


Before you start, you’ll want to make sure you’ve thought of everything. 


Snowflake Data Migration can be quite the undertaking.  Use this Snowflake Data Migration Blueprint as a reference to make sure you’re prepared for every aspect of your project. 


What is a Data Strategy & Why is it Important?

In 2023, companies need a data strategy more than ever as the landscape of data management and analysis continues to evolve and become increasingly more complex.
Banking & Financial Services

The Benefits of Data Warehousing in Finance

A data warehouse is a storage system that enables you to track crucial data points over time and analyze them to run your financial operations smoothly and make sound decisions. 
Banking & Financial Services

The Benefits of Data Lakes for Financial Services

Data lakes are centralized repositories of data that are helpful for compliance purposes, performing forecasts, risk assessments, and understanding customer behavior.